Researchers

Causal representation learning and foundation models for neuroscience

PhD researcher at KTH working on neuromorphic event cameras and low-latency sensor fusion for real-time human-robot collaboration. My work combines deep learning and spiking neural networks for depth estimation and object tracking, using a 7-DOF robotic arm and event cameras as the primary experimental platform.

My current research focus is centered on Applied Machine Learning, Deep Learning, and Multimodal AI, with a strong interest in document understanding, OCR, vision-language models, and LLM-based systems. I am currently exploring synthetic data generation for low-resource Turkic languages, especially for OCR and document recognition tasks. This includes building realistic multilingual document datasets, designing generation pipelines, and preparing data for fine-tuning modern OCR/VLM models. Another important direction of my work is the development of practical AI systems based on RAG, LLM agents, and multimodal reasoning. I am interested in turning research ideas into usable AI tools for real-world domains such as document processing, legal technology, education, and urban surveillance.

I work on CV and NLP for Kazakh and other low-resoruce languages.

Research focus: any sort of evaluation methodologies for GenAI of any modality.

ACR on tote jazu, use of RL for better eval

RL, Post training

Currently i am focused on CV based application on medical domain such as an early breast cancer detection.

Working as a Research Assistant at Nazarbayev University.